Morten L. Kringelbach

Pubertal timing is a critical dimension of adolescent brain vulnerability

This study examines how pubertal timing affects adolescent brain vulnerability by analyzing brain hierarchy changes before and after the pandemic.

Structured recurrence of latent neural processes predicts memory recognition performance

The paper shows that structured recurrence of neural processes predicts better memory recognition performance in auditory tasks.

Diminished ascending drive in transdiagnostic anhedonia shifts the cortico-subcortical hierarchy away from bottom-up dominance

The paper investigates brain dynamics in anhedonia using resting-state fMRI, finding a shift in cortico-subcortical hierarchy from bottom-up to balanced.

Meditation Depth Enhances the Functional Signal-to-Noise Ratio of the Brain

This study shows that deeper meditation increases the functional signal-to-noise ratio of the brain by improving sensory signal clarity and reducing background noise.

Spiral brain dynamics track the temporal unfolding of subjective intensity during the N,N-dimethyltryptamine experience

This study introduces vorticity-based metrics to analyze brain dynamics during DMT experiences, finding increased rotational organization and spatial heterogeneity associated with subjective intensity changes.

Ageing reshapes the resting-state network landscape of the human brain

This study shows that ageing reshapes the frequency-resolved organisation of whole-brain networks in healthy adults, with changes in network prominence and spatiotemporal expression across frequencies.

Memory encoding begins with spontaneous neural reactivation

This study shows that neural reactivation occurs during memory encoding, not just consolidation, and correlates with memory performance.

Brain dynamics of memory encoding for simple versus complex musical sequences

This study uses MEG to show that simple and complex musical sequences elicit distinct neural activity patterns during memory encoding, with complex sequences involving more hippocampal recruitment.

Near-critical brain dynamics track effortlessness during meditation

This study examines whether critical brain dynamics correlate with effortless awareness during meditation, finding that subjective effortlessness is linked to increased long-range temporal correlations, particularly in meditators.

Bayesian heart-rate entropy identifies autonomic dynamics during seizure evolution: a reproducible pilot study

This study uses Bayesian heart-rate entropy to analyze autonomic dynamics during seizures, finding that seizure duration, not awareness, is the strongest correlate of entropy changes.

Flattened brain hierarchy and increased EEG complexity during unusual bodily experiences and out-of-body experiences

This study examines brain dynamics during unusual bodily experiences and out-of-body experiences, finding reduced neural hierarchy and increased EEG complexity.

Hyper-Hierarchical Brain States Are Associated with Disorders of Consciousness

This study identifies hyper-hierarchical brain states in disorders of consciousness and links them to reduced behavioral responsiveness and altered network dynamics.

Thermodynamics of consciousness: A non-invasive perturbational framework

This paper introduces a non-invasive framework linking consciousness measures to non-equilibrium thermodynamics by analyzing FDT violations in humans and rodents across different states of consciousness.

FREQ-NESS reveals age-related differences in frequency-resolved brain networks during auditory recognition and resting state

This study applies the FREQ-NESS pipeline to MEG data to analyze age-related differences in frequency-specific brain networks during auditory tasks and rest.

One operator to rule them all: Unifying connectome harmonics, turbulence and complex harmonics in brain dynamics

The paper unifies three theoretical frameworks for brain dynamics into a single operator, demonstrating their shared response to structural perturbations using LSD as a test case.

Divergent changes in perturbation-induced brain reconfiguration following depression treatment with psilocybin and escitalopram

This study compares how psilocybin and escitalopram affect brain reconfiguration in MDD patients using whole-brain models and perturbation analysis.

Distinct brain responses to psilocybin and escitalopram in depression captured by the Fluctuation-Dissipation Theorem

This study compares brain responses to psilocybin and escitalopram in depression using the Fluctuation-Dissipation Theorem, finding distinct non-equilibrium dynamics and responder differentiation.

Generalisable signatures of anaesthesia in the large-scale functional organisation of the marmoset brain

This study shows that anaesthesia in marmosets alters large-scale brain organisation, similar to findings in humans and macaques, by constraining activity with structural connectivity and collapsing functional gradients.

Network reconfiguration preserves prediction error signallingin the aging brain

The paper investigates how predictive processing networks change with age, finding that aging redistributes resources across subsystems rather than uniformly weakening them.

Functional connectome harmonics capture early brain organization and maturity in neonates

This study uses functional connectome harmonics to analyze neonatal brain gradients and finds that power and energy metrics differ between term and preterm neonates, predicting postmenstrual age.

Beyond where: When and how brain stimulation drives state transitions

This paper investigates how and when brain stimulation drives state transitions by analyzing subject-specific whole-brain models of neural dynamics.

Functional connectome harmonics and dynamic connectivity maps of the preadolescent brain

The paper applies Functional Connectome Harmonics and Leading Eigenvector Dynamics Analysis to resting-state fMRI data from children to characterize preadolescent brain network organization.

The turbulent brain: Modelling vortex interactions for understanding human cognition

This paper introduces a whole-brain model of turbulent vortices to understand cognition by analyzing neuroimaging data and showing its ability to distinguish cognitive states and tasks.

Modeling Hierarchical Brain Dynamics Outperforms Hormonal Biomarkers in Predicting Menstrual Cycle Phases

This study uses a thermodynamics-inspired framework to model brain dynamics across menstrual cycle phases, finding that model-based biomarkers outperform hormonal and traditional connectivity measures in phase prediction.

Prediction of individual melodic contour processing in sensory association cortices from resting state functional connectivity

The paper predicts individual differences in melodic contour processing from resting state functional connectivity, finding higher predictability in sensory association cortices.

The Turbulent Brain: a toolbox to compute the turbulent dynamical behaviour of whole-brain activity

The Turbulent Brain toolbox applies turbulence physics to analyze brain activity dynamics, showing reduced information transmission during movie watching compared to resting state.

Restoring signatures of consciousness by thalamic stimulation in a whole-brain model of an anesthetized nonhuman primate

The paper uses a whole-brain model of an anesthetized macaque to simulate and restore consciousness through thalamic stimulation, showing how brain states transition during loss and recovery of consciousness.

Imbalanced Brain Connectome: A Novel Link between Functional Somatic Disorders, Multiple Chemical Sensitivity, and Post-COVID patients

This study identifies reduced inter-hemispheric brain connectivity in patients with functional somatic disorders, multiple chemical sensitivity, and post-COVID-19 conditions compared to healthy controls.

Reconfiguration of Functional Brain Hierarchy in Schizophrenia

This study investigates the reconfiguration of brain hierarchy in schizophrenia using resting-state fMRI and finds increased hierarchical organization linked to clinical symptoms and diagnostic separation.

Quantum-like dynamics in the human brain

This study investigates quantum-like dynamics in the human brain using coupled oscillators and finds that the QL regime provides the best whole-brain model fit to neuroimaging data with lower energy consumption.